It's that time of year when the sun is high, the days are long, and the energy is electric. With all this extra daylight, who wouldn't want to make the most of it? Think of all things wild - hiking, biking, going to the beach, finally all the fun plans with friends and a good old Netflix Binge...
(speaking of heat, did you watch Bridgerton yet?! 😍😰)
Now, that brings me to to our topic for this week, our first discussion - NETFLIX!
Unlocking the Magic Behind Your Screen: A Dive into Recommendation Systems
Ever wondered how Netflix seems to know just what you need after a long day? Or how Spotify always finds the right vibe for your
mood? That's the power of recommendation systems at work—a savvy blend of machine learning that’s all about curating your digital experiences.
In 2016 Netflix said, “Netflix member loses interest after perhaps 60 to 90 seconds of choosing, having reviewed 10 to 20 titles” - Business Insider
This could be a significant setback for Netflix, as streaming apps are extremely popular, and it's easy for users to switch to a competitor. Businesses refer to this phenomenon as 'Churn Rate' or 'Customer Attrition.
And Now, 8 years later - "our recommendation systems help us find the largest audiences for our titles and deliver the most satisfaction for our members" - Investopedia
Think about it: each time you scroll through Netflix or skip a song on Spotify, you're feeding data into a massive brain. When do you log in? How many times do you hit play? What hooks you enough to binge? Admit it, we’ve all had that moment where Netflix checks if we’re still there—I totally am,
thanks for asking!
